Search Results for author:
Found 8 papers, 6 papers with code
One-step Diffusion with Distribution Matching Distillation
We introduce Distribution Matching Distillation (DMD), a procedure to transform a diffusion model into a one-step image generator with minimal impact on image quality.
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
FastComposer proposes delayed subject conditioning in the denoising step to maintain both identity and editability in subject-driven image generation.
Ranked #7 on
Diffusion Personalization Tuning Free
on AgeDB
Learning Task-Specific Strategies for Accelerated MRI
Traditional CS-MRI methods often separately address measurement subsampling, image reconstruction, and task prediction, resulting in a suboptimal end-to-end performance.
Global Tracking Transformers
The transformer encodes object features from all frames, and uses trajectory queries to group them into trajectories.
Ranked #13 on
Multi-Object Tracking
on SportsMOT
(using extra training data)
Multimodal Virtual Point 3D Detection
For autonomous driving, this means that large objects close to the sensors are easily visible, but far-away or small objects comprise only one measurement or two.
Ranked #63 on
3D Object Detection
on nuScenes
End-to-End Sequential Sampling and Reconstruction for MRI
In this paper, we leverage the sequential nature of MRI measurements, and propose a fully differentiable framework that jointly learns a sequential sampling policy simultaneously with a reconstruction strategy.
Center-based 3D Object Detection and Tracking
Three-dimensional objects are commonly represented as 3D boxes in a point-cloud.
Ranked #1 on
Robust 3D Object Detection
on nuScenes-C
Detecting Adversarial Examples via Neural Fingerprinting
Deep neural networks are vulnerable to adversarial examples, which dramatically alter model output using small input changes.
